Triple
T4174334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hainaut |
E86438
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Haine River |
E483486
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Haine River | Statement: [Hainaut, namedAfter, Haine River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haine River Context triple: [Hainaut, namedAfter, Haine River]
-
A.
Haine River
chosen
The Haine River is a waterway in western Belgium and northern France that flows through the province of Hainaut before joining the Scheldt River.
-
B.
Stave River
Stave River is a river in southwestern British Columbia, Canada, known for its hydroelectric dams and as a significant waterway feeding into the Fraser River system.
-
C.
Sakonnet River
The Sakonnet River is a tidal strait in southeastern Rhode Island that separates Aquidneck Island from the mainland and connects Mount Hope Bay to Rhode Island Sound.
-
D.
Rouge River
Rouge River is a significant river in the Greater Toronto Area known for flowing through urban and natural landscapes, including parks and conservation areas.
-
E.
Rouge River
Rouge River is a river in southeastern Michigan that flows through the Detroit metropolitan area and is known for its industrial history and ongoing environmental restoration efforts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02e7d30081909774a3e2a2132d6a |
completed | March 9, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89b9fcbc8190868b8d0584e94118 |
completed | March 21, 2026, 12:06 p.m. |
Created at: March 9, 2026, 3:45 p.m.